Global Distribution and Cross-country Collaboration on Data and Artificial Intelligence Ethics Research:a Bibliometric Analysis
Year: 2025
Type: article
Abstract: Publications on data and artificial intelligence ethics have grown in importance as more international entities seek to adopt new rules and create international frameworks to manage the same. Concerns remain, however, regarding the fragmented legal landscape and the absence of a unified set of standards for big data and artificial intelligence technology. This study examines data and AI ethical publishing and citation patterns from 1996 to 2022 (26 years). It highlights the leading countries and institutions, prominent research streams, and cross-country collaboration. Bibliometric analysis has been used to extract data from the Scopus database. patterns. A title search strategy using particular keywords was used to extract 331 records. The data was exportedto VOS viewer software, Biblioshiny, and Excel for a thorough scientific analysis. This study fills the gap by addressing the issue of international collaboration in data and AI ethics research, as well as cultural diversity perspectives in international studies. The findings revealed that 633 authors from 40 countries have contributed to data and AI ethics documents. This shows that only a few countries contributed to global research trends in data and AI ethics, indicating a dearth of different perspectives. Western colleges ' computer science and philosophy professors affect data and AI ethics discussions in technology and society journals. Oxford and Cambridge universities offer key viewpoints on the subject, while merely three main clusters of cross-country collaboration took place. This study highlighted the practical implications of increasing international collaboration in data and AI ethics research to create a more inclusive and equitable global framework. The study is the foundation for increased collaboration, which may dispel negative stereotypes, develop social cohesion, promote tolerance, and foster improved decision-making and problem-solving.
Author: Ratnaria Wahid
Institution: Universiti Utara Malaysia
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4409838522